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Scheduling and Optimization Algorithms
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on scheduling problems in manufacturing systems, particularly addressing issues such as setup times, batching, dynamic scheduling, energy efficiency, and multi-objective optimization. It explores various techniques including genetic algorithms, agent-based control, and hybrid optimization to improve scheduling efficiency and effectiveness in manufacturing processes.
82
Works
IDs:OpenAlex
How has Scheduling and Optimization Algorithms's publication output changed over time?
ScholarIQpublication output · 2002–2025
Output grew0% over the shown period — from 1 works in 2002 to 1 in 2025.
1
1
1
1
1
1
3
1
1
1
2002200520062008200920172018201920222025
What are the most-cited papers on Scheduling and Optimization Algorithms?
ScholarIQmost cited works
Optimization of global production scheduling with deep reinforcement learning
Bernd Waschneck, André Reichstaller, Lenz Belzner, Thomas Altenmüller, Thomas Bauernhansl, Alexander Knapp, Andreas Kyek
Procedia CIRP. 2018359 CitationsOPEN ACCESS
A practical approach to job-shop scheduling problems
D.J. Hoitomt, Peter B. Luh, Krishna R. Pattipati
S116420536. 1993253 Citations
Agent-based supply chain management—1: framework
Nirupam Julka, Rajagopalan Srinivasan, Iftekhar A. Karimi
Computers & Chemical Engineering. 2002227 Citations
A Deep Reinforcement Learning Framework Based on an Attention Mechanism and Disjunctive Graph Embedding for the Job-Shop Scheduling Problem
Ruiqi Chen, Wenxin Li, Hongbing Yang
S184777250. 2022146 Citations
Where is Scheduling and Optimization Algorithms research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
S116420536253
S184777250146
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Scheduling and Optimization Algorithms is open access?
ScholarIQopen access share
20%OPEN ACCESS
Gold
13%
Green
0%
Hybrid
0%
Bronze
7%
Closed
80%
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